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    • 4. 发明申请
    • SYSTEM AND METHOD FOR SEGMENTING IMAGE DATA TO IDENTIFY A CHARACTER-OF-INTEREST
    • 用于识别图像数据以识别特征的系统和方法
    • US20130163871A1
    • 2013-06-27
    • US13401492
    • 2012-02-21
    • Joseph SalvoJohn CarboneLynn Ann DeroseAdam McCannWilliam Leonard
    • Joseph SalvoJohn CarboneLynn Ann DeroseAdam McCannWilliam Leonard
    • G06K9/18G06K9/34
    • G06K9/325G06K2209/01
    • A system and method of processing an acquired image to identify characters-of-interest in the acquired image. The method includes obtaining image data of a surface of an object. The image data includes a plurality of image pixels having corresponding light intensity signals. The light intensity signals are based on whether the corresponding image pixel correlates to a morphological change in the surface of the object. The method also includes determining a line section of the image data. The line section includes one of the character lines and has character image portions. The method also includes analyzing the light intensity signals of the image pixels in the character image portions to determine a common height of the characters-of-interest. The method also includes removing extraneous areas of the character image portions based on the common height of the characters-of-interest to provide trimmed image portions.
    • 一种处理所获取的图像以识别获取的图像中的兴趣字符的系统和方法。 该方法包括获得对象的表面的图像数据。 图像数据包括具有对应的光强度信号的多个图像像素。 光强度信号基于对应的图像像素是否与物体表面的形态变化相关。 该方法还包括确定图像数据的线段。 线段包括其中一个字符行并具有字符图像部分。 该方法还包括分析字符图像部分中的图像像素的光强信号以确定感兴趣字符的共同高度。 该方法还包括基于感兴趣字符的共同高度来移除字符图像部分的外部区域以提供修整的图像部分。
    • 5. 发明申请
    • SYSTEM AND METHOD FOR IDENTIFYING A CHARACTER-OF-INTEREST
    • 识别利益特征的系统和方法
    • US20130159660A1
    • 2013-06-20
    • US13328659
    • 2011-12-16
    • Joseph SalvoJohn CarboneLynn Ann DeroseAdam McCannWilliam Leonard
    • Joseph SalvoJohn CarboneLynn Ann DeroseAdam McCannWilliam Leonard
    • G06F12/02
    • G06F12/02G06F15/00G06F17/30G06K9/00973G06K9/50G06K2209/01
    • A method of generating an output vector to identify a character-of-interest using a sparse distributed memory (SDM) module. The method includes obtaining a feature vector having a vector address. The feature vector is based on a character-of-interest in an acquired image. The method also includes identifying activated locations from hard locations by determining relative distances between the vector address and the stored vector location addresses. Stored content counters of the activated locations include first and second stored sub-sets of counters. The method also includes combining the counters of the first stored sub-sets of the activated locations using a first summation thread to provide a first combined sub-set of values. The method also includes combining the counters of the second stored sub-sets of the activated locations using a second summation thread to provide a second combined sub-set of values. The first and second summation threads are run in parallel.
    • 一种使用稀疏分布式存储器(SDM)模块生成输出向量以识别感兴趣字符的方法。 该方法包括获得具有向量地址的特征向量。 特征向量基于所获取的图像中的兴趣特征。 该方法还包括通过确定向量地址和存储的向量位置地址之间的相对距离来识别来自硬位置的激活位置。 激活位置的存储内容计数器包括第一和第二存储的计数器子集。 该方法还包括使用第一求和线程组合激活位置的第一存储子集的计数器以提供第一组合值子集。 该方法还包括使用第二求和线程组合激活位置的第二存储子集的计数器以提供第二组合值子集。 第一个和第二个求和线程并行运行。
    • 7. 发明授权
    • System and method for identifying a character-of-interest
    • 用于识别兴趣特征的系统和方法
    • US09235499B2
    • 2016-01-12
    • US13328659
    • 2011-12-16
    • Joseph SalvoJohn CarboneLynn Ann DeroseAdam McCannWilliam Leonard
    • Joseph SalvoJohn CarboneLynn Ann DeroseAdam McCannWilliam Leonard
    • G06K9/46G06F12/02G06F15/00G06F17/30G06K9/00G06K9/50
    • G06F12/02G06F15/00G06F17/30G06K9/00973G06K9/50G06K2209/01
    • A method of generating an output vector to identify a character-of-interest using a sparse distributed memory (SDM) module. The method includes obtaining a feature vector having a vector address. The feature vector is based on a character-of-interest in an acquired image. The method also includes identifying activated locations from hard locations by determining relative distances between the vector address and the stored vector location addresses. Stored content counters of the activated locations include first and second stored sub-sets of counters. The method also includes combining the counters of the first stored sub-sets of the activated locations using a first summation thread to provide a first combined sub-set of values. The method also includes combining the counters of the second stored sub-sets of the activated locations using a second summation thread to provide a second combined sub-set of values. The first and second summation threads are run in parallel.
    • 一种使用稀疏分布式存储器(SDM)模块生成输出向量以识别感兴趣字符的方法。 该方法包括获得具有向量地址的特征向量。 特征向量基于所获取的图像中的兴趣特征。 该方法还包括通过确定向量地址和存储的向量位置地址之间的相对距离来识别来自硬位置的激活位置。 激活位置的存储内容计数器包括第一和第二存储的计数器子集。 该方法还包括使用第一求和线程组合激活位置的第一存储子集的计数器以提供第一组合值子集。 该方法还包括使用第二求和线程组合激活位置的第二存储子集的计数器以提供第二组合值子集。 第一个和第二个求和线程并行运行。